文摘
We introduce a new method for optimizing minimal energy conical intersections (MECIs), based on a sequentialpenalty constrained optimization in conjunction with a smoothing function. The method is applied to optimizeMECI geometries using the multistate formulation of second-order multireference perturbation theory (MS-CASPT2). Resulting geometries and energetics for conjugated molecules including ethylene, butadiene, stilbene,and the green fluorescent protein chromophore are compared with state-averaged complete active space self-consistent field (SA-CASSCF) and, where possible, benchmark multireference single- and double-excitationconfiguration interaction (MRSDCI) optimizations. Finally, we introduce the idea of "minimal distance conicalintersections", which are points on the intersection seam that lie closest to some specified geometry such asthe Franck-Condon point or a local minimum on the excited state.